Techub, citing The Decoder, reported that a new method called LEGO-Anything can turn a single photo into editable Blender code for generating a 3D scene. In the related benchmark, GPT-6 Astra led the tested models, reaching reconstruction accuracy of as high as 53%. The report also highlighted a shared weakness across all AI agents in the evaluation: their ability to judge their own geometric accuracy was no better than random guessing. The result points to a gap between producing a reconstruction and reliably assessing whether that reconstruction is geometrically correct.
Techub News, citing The Decoder, reported that a new method called LEGO-Anything can convert a single photo into editable Blender code to generate a 3D scene.
In the related benchmark, GPT-6 Astra led the field, with reconstruction accuracy reaching as high as 53%. The report added that the biggest weakness shared by all tested AI agents was their inability to assess their own geometric accuracy any better than random guessing.
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